Den 18. feb. 2012 kl. 04:27 skrev Jason Grout <jason-sage@creativetrax.com>:
> On 2/17/12 9:07 PM, Sturla Molden wrote:
>>>> Den 18. feb. 2012 kl. 01:58 skrev Charles R Harris
>> <charlesr.harris@gmail.com <mailto:charlesr.harris@gmail.com>>:
>>>>>>>>>>> On Fri, Feb 17, 2012 at 4:44 PM, David Cournapeau <cournape@gmail.com>>> <mailto:cournape@gmail.com>> wrote:
>>>>>> I don't think c++ has any significant advantage over c for high
>>> performance libraries. I am not convinced by the number of people
>>> argument either: it is not my experience that c++ is easier to
>>> maintain in a open source context, where the level of people is
>>> far from consistent. I doubt many people did not contribute to
>>> numoy because it is in c instead if c++. While this is somehow
>>> subjective, there are reasons that c is much more common than c++
>>> in that context.
>>>>>>>>> I think C++ offers much better tools than C for the sort of things in
>>> Numpy. The compiler will take care of lots of things that now have to
>>> be hand crafted and I wouldn't be surprised to see the code size
>>> shrink by a significant factor.
>>>> The C++11 standard is fantastic. There are automatic data types,
>> closures, reference counting, weak references, an improved STL with
>> datatypes that map almost 1:1 against any built-in Python type, a sane
>> threading API, regex, ect. Even prng is Mersenne Twister by standard.
>> With C++11 it is finally possible to "write C++ (almost) like Python".
>> On the downside, C++ takes a long term to learn, most C++ text books
>> teach bad programming habits from the beginning to the end, and C++
>> becomes inherently dangerous if you write C++ like C. Many also abuse
>> C++ as an bloatware generator. Templates can also be abused to write
>> code that are impossible to debug. While it in theory could be better, C
>> is a much smaller language. Personally I prefer C++ to C, but I am not
>> convinced it will be better for NumPy.
>>>> I agree about Cython. It is nice for writing a Python interface for C,
>> but get messy and unclean when used for anything else. It also has too
>> much focus on adding all sorts of "new features" instead of correctness
>> and stability. I don't trust it to generate bug-free code anymore.
>> For what it's worth, Cython supports C++ now. I'm sure there are people
> on this list that know much better than me the extent of this support,
> so I will let them chime in, but here are some docs on it:
>>http://docs.cython.org/src/userguide/wrapping_CPlusPlus.html>> If you have specific examples of new features trumping correctness and
> stability, I'm sure the Cython devel list would love to hear about it.
> They seem to be pretty concerned about stability and correctness to me,
> though I admit I don't follow the list extremely deeply.
>> I don't trust any automated tool to generate bug-free code. I don't
> even trust myself to generate bug-free code :).
>> Jason
> _______________________________________________
> NumPy-Discussion mailing list
>NumPy-Discussion@scipy.org>http://mail.scipy.org/mailman/listinfo/numpy-discussion